Earth Lab post docs & graduate students work in a collaborative environment to support its science projects (on topics like fire, risk and adaptation, environmental extremes), its robust data analysis infrastructure (the Analytics Hub) and its Earth Analytics Education Initiative. Each postdoc builds experience working across disciplines through joint proposals and publications and other research efforts across science projects. For a list of current postdoc positions available, please visit our Careers page.
Grad students are supported on a semester-by-semester basis to work on a particular science project. If you are a current CU grad student and your research aligns, please reach out to the main contact for the project you are interested in working on.
Earth Lab Supports 21st Century Computation Intensive Science
Postdocs are supported in their data-intensive computation efforts by the Analytics Hub and through collaboration with each other and faculty. They build critical computationally intensive science skills in a suite of areas including:
- Data Integration
- High-performance computing
- Efficient processing
- Data-intensive workflows
- Remote sensing
- Science communication / Collaboration
The collaborative and data-intensive environment and infrastructure found at Earth Lab support scientific inquiry that could not be performed otherwise. Earth Lab Post Docs and Graduate students working on cutting edge, data-intensive science problems.
2023 Summer Graduate Research Assistants (Name & project):
Jerry Gammie - "Data harmonization and modeling for prescribed fire recommendation"
Meghan Hayden - "Geodiversity Python tool"
Nathan Korinek - "Macrosystems, CAREER, ESIIL Stars"
Anna Lopresti - "Forest management effects on ecosystem services across western US"
Mia Murray - "Deloitte"
Janushi Shastri - "Cross-sensor calibration Python tool"
Behzad Vahedi Torghabe - "Multi-sensor signal evaluation for near-real-time burned area mapping"